Mathematical models of the epidemiological dynamics of soil-borne pathogens

Bekker Rebecca. 2018. Mathematical models of the epidemiological dynamics of soil-borne pathogens. Pretoria : University of Pretoria, 100 p. Magister scientiae : Applied mathematics : University of Pretoria

Encadrement : Anguelov, Roumen ; Dumont, Yves

Résumé : Despite the increase in agricultural crop yield over the last century, the world's food supply is in grave danger, as an estimated 16% of global yield is lost to various pathogens annually. As a result, mathematical epidemiology is regularly used to study the mechanisms of transmission, and to determine possible control strategies. A basic analysis of the SEIR model with linear diffusion on the infective compartment published in Gilligan (1995) is carried out first. When the population size is constant the temporal model admits a disease free equilibrium, which is asymptotically stable when R 0 ≤ 1, and locally asymptotically stable when R 0 > 1, as well as a locally asymptotically stable endemic equilibrium which only exists when R 0 > 1. Numerical investigations confirm the existence of travelling wave solutions. Next an SEIR model with non-linear diffusion on the infective compartment is investigated numerically. The behaviour of the two models is consistent, although non-linear diffusion with a small diffusion constant results in travelling waves with significantly lower speed. The host-pathogen model was developed to circumvent the underlying issues of placing a diffusion operator directly onto the infective compartment. This model consists of susceptible and infected hosts, and free and attached pathogen. Although R 0 < 1 for all parameter values, the model admits either only the pathogen free equilibrium PFE, or the PFE and two endemic equilibria. The PFE is always locally asymptotically stable and the global asymptotic stability is proven using two methods: the application of LaSalle's Invariance Principle, and the construction of a monotone system that approximates the model from above. These methods lead to two sets of sufficient conditions for the global stability of the PFE. The parameter values satisfying these conditions have some overlap. However there are values that satisfy one set and not the other. Although the stability properties of the endemic equilibria have not been proven, numerical simulations indicate that the equilibrium with the higher level for free pathogen is asymptotically stable on R 4 +, and the other is unstable, with the possibility of being a saddle point. Conditions for the persistence of the pathogen, and thus the infection, were derived. A local sensitivity analysis is completed, and from this possible control methods have been suggested. The model was extended to include a spatial component, by the addition of diffusion on the free pathogen sub-population. This inclusion did not result in solutions deviating from the behaviour that had been proven for the temporal model. Indeed, under the conditions for persistence, solutions initiated at the level of the stable endemic equilibrium result in a travelling infection front that joins this equilibrium to the PFE. The wave speed was calculated for diffusion constants μ ∈ [10 − 7, 10 − 1], and an equation of the form c (μ) = aμ b was fitted to data. The obtained value of b, namely b = 0. 4189 is close to the expected value of 0.5 as for FKPP equations.

Mots-clés libres : Soil-borne pathogens, Mathematical modelling, Epidemiology, Ordinary differential equation, Partial differential equations, Montone system, Lyapunov functional, Numerical simulations

Classification Agris : U10 - Informatique, mathématiques et statistiques
L72 - Organismes nuisibles des animaux
L73 - Maladies des animaux

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

Auteurs et affiliations

• Bekker Rebecca, University of Pretoria (ZAF)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/589361/)

Métriques

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